Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement

Six Sigma involves a structured process improvement strategy that places processes on a pathway to continued improvement. The data presented here summarizes a project that took three clinical laboratories from autoverification processes that allowed between about 40% to 60% of tests being auto-verif...

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Autores principales: Randell, Edward W., Short, Garry, Lee, Natasha, Beresford, Allison, Spencer, Margaret, Kennell, Marina, Moores, Zoë, Parry, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Proteomics and Biochemistry   
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998219/
https://www.ncbi.nlm.nih.gov/pubmed/29904674
http://dx.doi.org/10.1016/j.dib.2018.04.080
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author Randell, Edward W.
Short, Garry
Lee, Natasha
Beresford, Allison
Spencer, Margaret
Kennell, Marina
Moores, Zoë
Parry, David
author_facet Randell, Edward W.
Short, Garry
Lee, Natasha
Beresford, Allison
Spencer, Margaret
Kennell, Marina
Moores, Zoë
Parry, David
author_sort Randell, Edward W.
collection PubMed
description Six Sigma involves a structured process improvement strategy that places processes on a pathway to continued improvement. The data presented here summarizes a project that took three clinical laboratories from autoverification processes that allowed between about 40% to 60% of tests being auto-verified to more than 90% of tests and samples auto-verified. The project schedule, metrics and targets, a description of the previous system and detailed information on the changes made to achieve greater than 90% auto-verification is presented for this Six Sigma DMAIC (Design, Measure, Analyze, Improve, Control) process improvement project.
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spelling pubmed-59982192018-06-14 Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement Randell, Edward W. Short, Garry Lee, Natasha Beresford, Allison Spencer, Margaret Kennell, Marina Moores, Zoë Parry, David Data Brief Proteomics and Biochemistry    Six Sigma involves a structured process improvement strategy that places processes on a pathway to continued improvement. The data presented here summarizes a project that took three clinical laboratories from autoverification processes that allowed between about 40% to 60% of tests being auto-verified to more than 90% of tests and samples auto-verified. The project schedule, metrics and targets, a description of the previous system and detailed information on the changes made to achieve greater than 90% auto-verification is presented for this Six Sigma DMAIC (Design, Measure, Analyze, Improve, Control) process improvement project. Elsevier 2018-05-03 /pmc/articles/PMC5998219/ /pubmed/29904674 http://dx.doi.org/10.1016/j.dib.2018.04.080 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Proteomics and Biochemistry   
Randell, Edward W.
Short, Garry
Lee, Natasha
Beresford, Allison
Spencer, Margaret
Kennell, Marina
Moores, Zoë
Parry, David
Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement
title Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement
title_full Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement
title_fullStr Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement
title_full_unstemmed Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement
title_short Strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement
title_sort strategy for 90% autoverification of clinical chemistry and immunoassay test results using six sigma process improvement
topic Proteomics and Biochemistry   
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998219/
https://www.ncbi.nlm.nih.gov/pubmed/29904674
http://dx.doi.org/10.1016/j.dib.2018.04.080
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